Finding Frequent Items: A Novel Method for Improving the Apriori Algorithm

In the current paper, we use an intelligent method for improved Apriori algorithm in order to extract frequent itemsets. PAA (proposed algorithm) is twofold. First, it not necessary take only one data item at each step. fact, all possible combinations of items could be generated Secondly, can scan some transactions instead scanning obtain itemset. For performance evaluation, conducted three experiments with traditional Apriori, BitTableFI, TDM-MFI, and MDC_Apriori algorithms. The results exhibit that due significant reduction number transaction scans itemset, execution time significantly reduced; as first experiment, spent generate underwent a by 52% compared experiment. second amount equal 65%, while third 46%.